The CLCXray dataset is constructed by Visual and Intelligent Learning Lab, Tongji University.
The CLCXray dataset contains 9,565 X-ray images, in which 4,543 X-ray images (real data) are obtained from the real subway scene and 5,022 X-ray images (simulated data) are
scanned from manually designed baggage. There are 12 categories in the CLCXray dataset, including 5 types of cutters and 7 types of liquid containers. Five kinds of cutters
include blade, dagger, knife, scissors, swiss army knife. Seven kinds of liquid containers include cans, carton drinks, glass bottle, plastic bottle, vacuum cup, spray cans,
tin.
The annotations are made in COCO format.
The source codes is in https://github.com/GreysonPhoenix/mmdetection.
- The images and the corresponding annotation results can only be used for ACADEMIC PURPOSES. NO COMERCIAL USE is allowed
- Copyright © Visual and Intelligent Learning Lab, Tongji University (Tongji). All rights reserved.
- Download the entire dataset in COCO format from baidu cloud (password: clcx). or google drive
- Download part of 16-bit raw images from here (password: clcx).